Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach

Abstract

The ML-based risk stratification tool was able to assess the risk of 5-year all-cause mortality and readmission in patients with HF. ML could provide an explicit explanation of individualized risk prediction and give physicians an intuitive understanding of the influence of critical features in the model.